%0 Journal Article
%T Improved ant colony optimization algorithm based on cloud environment<br>一种改进的基于云环境的蚁群优化算法
%A LIU Bohong
%A ZHAO Junyao
%A <br>刘伯红
%A 赵浚尧
%J 重庆邮电大学学报(自然科学版)
%D 2012
%I 
%X Based on the research of the original colony optimization algorithm, an improved ant colony optimization algorithm is proposed to improve the network routing quality for the colud environment which has more complex network structure. The new algorithm adopts an network node review mechanism which can judge whether the network node is online or not in real time,and get the optimal solution network routing path.Simulation results show that the improved algorithm can effectively improve the network routing quality when partial network path has no effect caused by the variability of the network nodes in the network,so as to solve some network congestion problems.
%K cloud computing
%K ant colony optimization
%K network review
%K network routing
%K pheromone<br>云计算
%K 蚁群算法
%K 在网审查
%K 网络路由
%K 信息素
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=5C2694A2E5629ECD6B59D7B28C6937AD&aid=F1066E608B676570516473B7A880335E&yid=99E9153A83D4CB11&vid=B91E8C6D6FE990DB&iid=B31275AF3241DB2D&sid=AB720B703F452703&eid=EB8E83807F36F05B&journal_id=1673-825X&journal_name=重庆邮电大学学报(自然科学版)&referenced_num=0&reference_num=0